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sentdex

Python Programming tutorials, going further than just the basics. Learn about machine learning, finance, data analysis, robotics, web development, game development and more.. I have ~1000 videos, all of which do not fit on the front page. Try searching on the channel page, or via https://pythonprogramming.net. If you cannot find something, just ask! . Bitcoin donations: 1GV7srgR4NJx4vrk7avCmmVQQrqmv87ty6. Paypal donations: [email protected]

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  1. 1 | Practical Machine Learning Tutorial with Python Intro p.1 00:05:55
  2. 2 | Regression Intro - Practical Machine Learning Tutorial with Python p.2 00:10:58
  3. 3 | Regression Features and Labels - Practical Machine Learning Tutorial with Python p.3 00:10:17
  4. 4 | Regression Training and Testing - Practical Machine Learning Tutorial with Python p.4 00:16:26
  5. 5 | Regression forecasting and predicting - Practical Machine Learning Tutorial with Python p.5 00:14:28
  6. 6 | Pickling and Scaling - Practical Machine Learning Tutorial with Python p.6 00:06:25
  7. 7 | Regression How it Works - Practical Machine Learning Tutorial with Python p.7 00:07:57
  8. 8 | How to program the Best Fit Slope - Practical Machine Learning Tutorial with Python p.8 00:11:44
  9. 9 | How to program the Best Fit Line - Practical Machine Learning Tutorial with Python p.9 00:07:35
  10. 10 | R Squared Theory - Practical Machine Learning Tutorial with Python p.10 00:08:36
  11. 11 | Programming R Squared - Practical Machine Learning Tutorial with Python p.11 00:07:01
  12. 12 | Testing Assumptions - Practical Machine Learning Tutorial with Python p.12 00:20:33
  13. 13 | Classification w/ K Nearest Neighbors Intro - Practical Machine Learning Tutorial with Python p.13 00:11:11
  14. 14 | K Nearest Neighbors Application - Practical Machine Learning Tutorial with Python p.14 00:21:41
  15. 15 | Euclidean Distance - Practical Machine Learning Tutorial with Python p.15 00:06:53
  16. 16 | Creating Our K Nearest Neighbors Algorithm - Practical Machine Learning with Python p.16 00:09:15
  17. 17 | Writing our own K Nearest Neighbors in Code - Practical Machine Learning Tutorial with Python p.17 00:10:17
  18. 18 | Applying our K Nearest Neighbors Algorithm - Practical Machine Learning Tutorial with Python p.18 00:13:17
  19. 19 | Final thoughts on K Nearest Neighbors - Practical Machine Learning Tutorial with Python p.19 00:14:37
  20. 20 | Support Vector Machine Intro and Application - Practical Machine Learning Tutorial with Python p.20 00:08:31
  21. 21 | Understanding Vectors - Practical Machine Learning Tutorial with Python p.21 00:06:07
  22. 22 | Support Vector Assertion - Practical Machine Learning Tutorial with Python p.22 00:10:07
  23. 23 | Support Vector Machine Fundamentals - Practical Machine Learning Tutorial with Python p.23 00:15:35
  24. 24 | Support Vector Machine Optimization - Practical Machine Learning Tutorial with Python p.24 00:28:20
  25. 25 | Creating an SVM from scratch - Practical Machine Learning Tutorial with Python p.25 00:10:16
  26. 26 | SVM Training - Practical Machine Learning Tutorial with Python p.26 00:14:23
  27. 27 | SVM Optimization - Practical Machine Learning Tutorial with Python p.27 00:17:37
  28. 28 | Completing SVM from Scratch - Practical Machine Learning Tutorial with Python p.28 00:28:50
  29. 29 | Kernels Introduction - Practical Machine Learning Tutorial with Python p.29 00:15:22
  30. 30 | Why Kernels - Practical Machine Learning Tutorial with Python p.30 00:21:19
  31. 31 | Soft Margin SVM - Practical Machine Learning Tutorial with Python p.31 00:18:21
  32. 32 | Soft Margin SVM and Kernels with CVXOPT - Practical Machine Learning Tutorial with Python p.32 00:11:11
  33. 33 | SVM Parameters - Practical Machine Learning Tutorial with Python p.33 00:17:28
  34. 34 | Clustering Introduction - Practical Machine Learning Tutorial with Python p.34 00:20:15
  35. 35 | Handling Non-Numeric Data - Practical Machine Learning Tutorial with Python p.35 00:16:50
  36. 36 | K Means with Titanic Dataset - Practical Machine Learning Tutorial with Python p.36 00:17:09
  37. 37 | Custom K Means - Practical Machine Learning Tutorial with Python p.37 00:14:09
  38. 38 | K Means from Scratch - Practical Machine Learning Tutorial with Python p.38 00:14:59
  39. 39 | Mean Shift Intro - Practical Machine Learning Tutorial with Python p.39 00:11:42
  40. 40 | Mean Shift with Titanic Dataset - Practical Machine Learning Tutorial with Python p.40 00:22:48
  41. 41 | Mean Shift from Scratch - Practical Machine Learning Tutorial with Python p.41 00:17:27
  42. 42 | Mean Shift Dynamic Bandwidth - Practical Machine Learning Tutorial with Python p.42 00:29:22
  43. 43 | Deep Learning with Neural Networks and TensorFlow Introduction 00:22:33
  44. 44 | Installing TensorFlow (OPTIONAL) - Deep Learning with Neural Networks and TensorFlow p2.1 00:27:46
  45. 45 | TensorFlow Basics - Deep Learning with Neural Networks p. 2 00:15:50
  46. 46 | Neural Network Model - Deep Learning with Neural Networks and TensorFlow 00:32:51
  47. 47 | Running our Network - Deep Learning with Neural Networks and TensorFlow 00:25:15
  48. 48 | Processing our own Data - Deep Learning with Neural Networks and TensorFlow part 5 00:13:02
  49. 49 | Preprocessing cont'd - Deep Learning with Neural Networks and TensorFlow part 6 00:22:49
  50. 50 | Training/Testing on our Data - Deep Learning with Neural Networks and TensorFlow part 7 00:12:22
  51. 51 | Using More Data - Deep Learning with Neural Networks and TensorFlow part 8 00:25:13
  52. 52 | Installing the GPU version of TensorFlow for making use of your CUDA GPU 00:15:54
  53. 53 | Installing CPU and GPU TensorFlow on Windows 00:18:16
  54. 54 | Recurrent Neural Networks (RNN) - Deep Learning with Neural Networks and TensorFlow 10 00:12:38
  55. 55 | RNN Example in Tensorflow - Deep Learning with Neural Networks 11 00:14:20
  56. 56 | Convolutional Neural Networks Basics - Deep Learning withTensorFlow 12 00:09:11
  57. 57 | Convolutional Neural Networks with TensorFlow - Deep Learning with Neural Networks 13 00:25:07
  58. 58 | TFLearn - Deep Learning with Neural Networks and TensorFlow p. 14 00:27:42
  59. 59 | Intro - Training a neural network to play a game with TensorFlow and Open AI 00:12:32
  60. 60 | Training Data - Training a neural network to play a game with TensorFlow and Open AI p.2 00:12:07
  61. 61 | Training Model - Training a neural network to play a game with TensorFlow and Open AI p.3 00:14:38
  62. 62 | Testing Network - Training a neural network to play a game with TensorFlow and Open AI p.4 00:16:16
  63. 63 | Intro and preprocessing - Using Convolutional Neural Network to Identify Dogs vs Cats p. 1 00:12:51
  64. 64 | Building the Network - Using Convolutional Neural Network to Identify Dogs vs Cats p. 2 00:09:05
  65. 65 | Training - Using Convolutional Neural Network to Identify Dogs vs Cats p. 3 00:19:02
  66. 66 | Using our Network - Using Convolutional Neural Network to Identify Dogs vs Cats p. 4 00:10:51
  67. 67 | Introduction - 3D Convolutional Neural Network w/ Kaggle Lung Cancer Detection Competiton p.1 00:11:35
  68. 68 | Reading Files - 3D Convolutional Neural Network w/ Kaggle and 3D medical imaging p.2 00:20:55
  69. 69 | Visualizing - 3D Convolutional Neural Network w/ Kaggle and 3D medical imaging p.3 00:09:42
  70. 70 | Resizing Data - 3D Convolutional Neural Network w/ Kaggle and 3D medical imaging p.4 00:13:35
  71. 71 | Preprocessing data - 3D Convolutional Neural Network w/ Kaggle and 3D medical imaging p.5 00:10:55
  72. 72 | Running the Network - 3D Convolutional Neural Network w/ Kaggle and 3D medical imaging p.6 00:29:22
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    29-07-2024